class_docstr: Base class for explicit Runge-Kutta methods.
code: def _estimate_error_norm(self, K, h, scale):
      return norm(self._estimate_error(K, h) / scale)
  
imports: import numpy
  from .base import OdeSolver, DenseOutput
  from .common import validate_max_step, validate_tol, select_initial_step, norm, warn_extraneous, validate_first_step
  from .None import dop853_coefficients
label_desc: Use image node_id 3 for calling the RungeKutta obj's underlying member method code with example usage: obj._estimate_error_norm(K, h, scale) and returns: norm